Unification of medicines and excipients: The roles of natural excipients for promoting drug delivery.

INTRODUCTION: Drug delivery systems (DDSs) formed by natural active compounds be instrumental in developing new green excipients and novel DDS from natural active compounds (NACs). 'Unification of medicines and excipients'(UME), the special inherent nature of the natural active compounds, provides the inspiration and conduction to achieve this goal. AREAS COVERED: This review summarizes the typical types of NACs from herbal medicine, such as saponins, flavonoids, polysaccharides, etc. that act as excipients and their main application in DDS. The comparison of the drug delivery systems formed by NACs and common materials and the primary formation mechanisms of these NACs are also introduced to provide a deepened understanding of their performance in DDS. EXPERT OPINION: Many natural bioactive compounds, such as saponins, polysaccharides, etc. have been used in DDS. Diversity of structure and pharmacological effects of NACs turn out the unique advantages in improving the performance of DDSs like targeting ability, adhesion, encapsulation efficiency(EE), etc. and enhancing the bioavailability of loaded drugs.

Limosilactobacillus fermentum-fermented ginseng improved antibiotic-induced diarrhoea and the gut microbiota profiles of rats.

AIMS: This study investigated the efficacy of Limosilactobacillus fermentum-fermented ginseng for improving colitis and the gut microbiota profiles in rats and explored the benefits of the L. fermentum fermentation process to ginseng. METHODS AND RESULTS: Ginseng polysaccharide and ginsenoside from fermented ginseng were analysed by UV and HPLC. Antibiotic-fed rats were treated with fermented ginseng and a L. fermentum-ginseng mixture. Histopathology- and immune-related factors (TNF-α, IL-1ß, IL-6 and IL-10) of the colon were assayed by using pathological sections and ELISA. After treatment, fermented ginseng relieved the symptoms of antibiotic-induced diarrhoea and colon inflammation, and the expression of colon immune factors returned to normal. The gut microbial communities were identified by 16S rRNA gene sequencing. The results showed that the alterations in the gut microbiota returned to normal. In addition, the gut microbiota changes were correlated with immune factor expression after treatment. The fermented ginseng had better biological functions than a L. fermentum-ginseng mixture. CONCLUSIONS: Fermented ginseng can relieve diarrhoea and colon inflammation and restore the gut microbiota to its original state. The process of L. fermentum fermentation can expand the therapeutic use of ginseng. SIGNIFICANCE AND IMPACT OF THE STUDY: This research suggested the potential function of fermented ginseng to relieve diarrhoea and recover the gut microbiota to a normal level and explored the benefits of the Limosilactobacillus fermentum fermentation process to ginseng.

Paecilomyces cicadae-fermented Radix astragali ameliorate diabetic nephropathy in mice by modulating the gut microbiota.

The occurrence and development of diabetic nephropathy (DN) are closely related to gut microbiota. Paecilomyces cicadae is a medicinal and edible fungus. Radix astragali is a therapeutic material for unifying Chinese Qi. They can delay the occurrence and development of kidney disease. In recent years, solid-state fermentation of edible fungi and traditional Chinese medicine has become a hot issue.Hypothesis/Gap Statement. We assumed that solid-state fermentation products of R. astragali and Paecilomyces cicadidae (RPF) could ameliorate diabetic nephropathy and modulate gut microbiota composition. We aimed to study the function and mechanism of the RPF for ameliorating DN in mice. We investigated the effect of the potential roles of RPF in DN mice and interaction between DN and gut microbiota using animal experiments and gut microbiota measurements. We found that RPF dramatically reduced urine protein, serum creatinine and blood urea nitrogen in DN mice. Furthermore, RPF ameliorated the physiological condition of DN mice by regulating the abundance of intestinal microbiota such as Ruminococcaceae_UCG-014, Allobaculum, Unclassified_f__Lachnospiraceae Alloprevotella and Bacteroides. RPF can ameliorate diabetic nephropathy and modulate gut microbiota composition.

Monascus ruber fermented Panax ginseng ameliorates lipid metabolism disorders and modulate gut microbiota in rats fed a high-fat diet.

ETHNOPHARMACOLOGICAL RELEVANCE: Ginseng (Panax ginseng Meyer) is rich in a variety of biologically active ingredients, which shows good effect in the treatment of metabolic diseases. Monascus has lipid-lowering activity and one of its metabolites, lovastatin, is widely used in clinical practice. AIM OF THE STUDY: The main purpose of this study was to clarify the effects of fermented Panax ginseng by Monascus ruber (PM) on lipid metabolism and gut microbiota in rats fed a high-fat diet. MATERIALS AND METHODS: SPF Sprague-Dawley rats were randomly divided into 5 groups, the therapeutic effect of PM on HFD-induced obesity, hyperlipidemia, hepatic steatosis, and disordered gut microbiota were determined in rats. RESULTS: PM could attenuate features of obesity in rats, decrease serum TC, LDL-C and IgA levels, increase excretion of bile acids in feces. Hepatic histopathologic analysis revealed that PM decrease lipid accumulation in hepatocytes. Consistently, mRNA expression levels of cholesterol metabolism-related genes were regulated in the livers of HFD-fed rats administered with PM. In addition, PM could enhance the diversity and relative abundance of gut microbiota, reduce the Firmicutes/Bacteroidetes (F/B) ratio, increase significantly the relative abundance of Prevotella_9, and decrease these of Muribaculaceae. CONCLUSIONS: PM could regulate lipid metabolism and the structure of the gut microbiota in the HFD rats. Our findings provide valuable experience for the development of ginseng. PM could be a potentially effective strategy to prevent and treat metabolic diseases and alleviate the gut microbiota disturbance caused by it.

Process optimization in ginseng fermentation by Monascus ruber and study on bile acid-binding ability of fermentation products in vitro.

Ginseng (Panax ginseng C. A. Meyer) is a famous Traditional Chinese Medicine, which is widely used to treat cardiovascular disease. Monascus ruber (M. ruber) is a fungus used in food and medicine fermentation, and lovastatin, its metabolite, is used extensively in the treatment of dyslipidemia. In this study, ginseng has been fermented by M. ruber, and the response surface methodology (RSM) was applied to optimize fermentation parameters to obtain optimal fermentation system, with further exploring to lipid-lowering activity of P. ginseng C. A. Meyer-M. ruber fermentation products (PM). The concentration of ginseng, temperature, and rotating speed were set as variables and the lovastatin yield was optimized by a Box-Behnken design (BBD) analyzed by RSM. The binding capacity of PM for sodium taurocholate and sodium cholate was assayed by UV spectrophotometry. The highest content of lovastatin production (85.53 µg g-1) was obtained at a ginseng concentration of 1.96%, temperature of 30.11 °C, and a rotating speed of 160.47 rpm. PM exhibited bile acid binding capacity, which was stronger than unfermented ginseng. The RSM can be used to optimize the fermentation system to obtain the best fermentation process. In addition, the fermentation of ginseng by M. ruber can enhance the lipid-lowering effect.

Effects of fermented ginseng on the gut microbiota and immunity of rats with antibiotic-associated diarrhea.

ETHNOPHARMACOLOGICAL RELEVANCE: Ginseng (Panax ginseng Meyer) is a well-known herb in traditional Chinese medicine and has been used to treat many diseases for thousands of years. Recent studies have shown that ginseng is a promising agent for improving the gut microbiota and treating ulcerative colitis. Fermentation is a common process in traditional Chinese medicine making that can be used to enhance efficacy and reduce toxicity. AIM OF THE STUDY: The purpose of the present study was to research the efficacy of ginseng fermented with probiotics (Lactobacillus fermentum) on the gut microbiota and immunity of rats with antibiotic-associated diarrhea (AAD). MATERIALS AND METHODS: SPF Sprague-Dawley rats were randomly divided into eight groups: control group, antibiotic group, natural recovery group, and five groups treated with different doses of fermented ginseng (FG1 to FG5). A model of AAD was established by treating the rats with triple antibiotics, and obvious symptoms of AAD were observed. A histopathological analysis of the colon was performed. The total bacteria in the intestinal microbiota and five types of gut microbes in the feces were detected by quantitative PCR. The expression levels of related immune factors TLR4 and NF-κB in the colon were assayed. RESULTS: An appropriate dose of fermented ginseng (0.5 g/kg/d) relieved some of the symptoms of AAD and colon inflammation and reduced the expression of the immune factors TLR4 and NF-κB in the colon. The alteration of the gut microbiota observed in the rats treated with antibiotics also returned to normal after treatment with fermented ginseng. Moreover, different doses of fermented ginseng exerted different influences on the gut microbiota, and excessively high or low doses of fermented ginseng were disadvantageous for resolving the symptoms of AAD and promoting recovery. CONCLUSIONS: These results demonstrate that fermented ginseng can treat AAD symptoms and colon inflammation and restore the gut microbiota to its original state.

Paecilomyces cicadae-fermented Radix astragali activates podocyte autophagy by attenuating PI3K/AKT/mTOR pathways to protect against diabetic nephropathy in mice.

Radix astragali, a medicinal material for tonifying Chinese Qi, has widely been used for the treatment of Kidney disease in China and East Asia, especially in reducing the apoptosis of glomerular podocytes. Paecilomyces Cicadidae is a medicinal and edible fungus. In recent years, the application of traditional Chinese medicine (TCM) in solid-state fermentation of edible and medicinal fungi has become a hot issue. Fermentation is a special method to change the properties of TCM. Therefore, the potential roles and molecular mechanisms on podocytes of solid-state fermentation products of Radix astragali and Paecilomyces cicadidae (RPF) in diabetic nephropathy (DN) were studied. In vivo, the effect of RPF and Radix astragali on DN in mice was evaluated by detecting the biochemical indexes of blood and urine, renal function and podocyte integrity. In vitro, the expression of podocyte marker protein, autophagy marker protein and PI3K/AKT/mTOR signaling pathway protein were detected by Western blotting using a high glucose-induced podocyte injury model. The results showed that RPF had a significant alleviative effect on DN mice. RPF can significantly reduce urine protein, serum creatinine, and blood nitrogen urea in DN mice. Morphological analysis showed that RPF could improve kidney structure of DN and reduce the apoptosis of podocytes, and the effect was better than Radix astragali. In vitro results indicated that RPF could enhance autophagy and protect podocytes by inhibiting the PI3K/AKT/mTOR signaling pathway. In summary, RPF has better effect on delaying the development of DN than Radix astragali. RPF enhances autophagy in podocytes and delays DN probably by inhibiting the PI3K/AKT/mTOR signaling pathway.

[Key technologies and applications of industrial big data in manufacturing of Chinese medicine].

Along with the striding of the Chinese medicine(CM) manufacturing toward the Industry 4.0, some digital factories have accumulated lightweight industrial big data, which become part of the enterprise assets. These digital assets possess the possibility of solving the problems within the CM production system, like the Sigma gap and the poverty of manufacturing knowledge. From the holistic perspective, a three-tiered architecture of CM industrial big data is put forward, and it consists of the data integration layer, the data analysis layer and the application scenarios layer. In data integration layer, sensing of CM critical quality attributes is the key technology for big data collection. In data analysis and mining layer, the self-developed iTCM algorithm library and model library are introduced to facilitate the implementation of the model lifecycle methodologies, including process model development, model validation, model configuration and model maintenance. The CM quality transfer structure is closely related with the connection mode of multiple production units. The system modeling technologies, such as the partition-integration modeling method, the expanding modeling method and path modeling method, are key to mapping the structure of real manufacturing system. It is pointed out that advance modeling approaches that combine the first-principles driven and data driven technologies are promising in the future. At last, real-world applications of CM industrial big data in manufacturing of injections, oral solid dosages, and formula particles are presented. It is shown that the industrial big data can help process diagnosis, quality forming mechanism interpretations, real time release testing method development and intelligent product formulation design. As renewable resources, the CM industrial big data enable the manufacturing knowledge accumulation and product quality improvement, laying the foundation of intelligent manufacturing.

Analysis of chemical constituents and six compounds in Qu-feng-sheng-shi Granules via HPLC-ESI-Q/TOF-MSn and HPLC-UV technique.

Qu-feng-sheng-shi Granules (QFSSG), a common prescription for the treatment of chronic inflammation and allergic rhinitis, is widely used in the clinic as a traditional Chinese medicine. Chemical analysis and quality control studies of this formulation are relatively limited compared with pharmacological studies. In this study, a high-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry (HPLC-ESI-Q/TOF-MSn ) was used to identify the components in this prescription. Next, to quantify six major compounds, an HPLC-UV method was developed and validated. The results showed that 53 compounds were identified based on the MSn data, retention time and previous reports, including 17 coumarins, 14 lignans, 10 chromones, nine phenylethanoid glycosides and three other compounds, were identified or tentatively assigned. Contents of six major bioactive compounds (4'-O-ß-glucopyranosyl-5-O-methylvisamminol, Prim-O-glucosylcimifugin, forsythin, magnolin, imperatorin, isoimperatorin) could be determined by HPLC simultaneously. In addition, the potential anti-inflammatory activity of six major compounds was determined too, and we found that four compounds (4'-O-ß-glucopyranosyl-5-O-methylvisamminol, Prim-O-glucosylcimifugin, forsythin, imperatorin) have a potent nitric oxide inhibitory effect. In conclusion, this work provided comprehensive information on the quality control of QFSSG and evaluated the potential biological activity of the main components in QFSSG, which can contribute to understanding and using it more scientifically.

Multiscale study on the enhancing effect and mechanism of borneolum on transdermal permeation of drugs with different log P values and molecular sizes.

D-borneolum is commonly used as a permeation enhancer in Traditional Chinese Medicine (TCM) formulas for transdermal application. Additionally, two other sources of borneolums were recorded in the 2015 edition of the Chinese Pharmacopoeia (ChP), including L-borneolum and borneolum syntheticum. To guide the selection and application of borneolum, the safety and enhancing effect of three sources of borneolums were investigated on transdermal permeation of compounds with different octanol-water partition coefficient (log P) values and molecular weights (MWs). Both the results of cellular cytotoxicity and in vitro transdermal permeation experiments showed that all three sources of borneolums could be applied in TDDS as permeation enhancers. Moreover, all three sources of borneolums achieved optimal permeation-enhancing performances on transdermal drugs with lower log P values as well as higher MWs. Further study was carried out to elucidate the potential molecular mechanism of borneolum enhancing transdermal drug delivery via transmission electron microscope (TEM) and coarse-grained molecular dynamic (CG-MD) simulation. Borneolum significantly promoted transdermal delivery of drugs via changing the dense morphology of the stratum corneum (SC), disturbing the ordered arrangement of ceramide (CER) and free fatty acid (FFA) molecules in lipid layers, and further increasing the diffusion rate of drugs in the lipid layers.

Optimal Selection of Incoming Materials from the Inventory for Achieving the Target Drug Release Profile of High Drug Load Sustained-Release Matrix Tablet.

In the pharmaceutical process, raw material (including APIs and excipients) variability can be delivered to the final product, and lead to batch-to-batch and lot-to-lot variances in its quality, finally impacting the efficacy of the drug. In this paper, the Panax notoginseng saponins (PNS) sustained-release matrix tablet was taken as the model formulation. Hydroxypropyl methylcellulose with the viscosity of 4000 mPa·s (HPMCK4M) from different vendors and batches were collected and their physical properties were characterized by the SeDeM methodology. The in-vitro dissolution profiles of active pharmaceutical ingredients (APIs) from matrix tablets made up of different batches HPMC K4M displayed significant variations. Multi-block partial least squares (MB-PLS) modeling results further demonstrated that physical properties of excipients played dominant roles in the drug release. In order to achieve the target drug release profile with respect to those far from the criteria, the optimal selection method of incoming materials from the available was established and validated. This study provided novel insights into the control of the input variability of the process and amplified the application of the SeDeM expert system, emphasizing the importance of the physical information of the raw materials in the drug manufacturing process.

Setting up multivariate specifications on critical raw material attributes to ensure consistent drug dissolution from high drug-load sustained-release matrix tablet.

The purpose of this study was to describe the raw material variability that influenced the in-vitro dissolution behavior of high drug-load sustained-release matrix tablet and to ensure the consistent quality of the final product. The Panax notoginseng saponins (PNS) - hydroxypropyl methylcellulose - anhydrous lactose - magnesium stearate (57:20:23:0.5%, w/w) was used as the model formulation. PNS extract powders with lot-to-lot and source-to-source differences were collected to cover the common cause variations and their physicochemical properties were characterized by the chromatographic fingerprints and the SeDeM expert system. It was found that the release behavior of active pharmaceutical ingredients (APIs) in PNS from different batches exhibited considerable variations. Latent variable modeling results demonstrated that the physical properties of raw materials played major roles in predicting the drug dissolution. PNS extracts with high specific surface area, the width of particle size distribution and hygroscopicity or low moisture content led to an increase in drug release. In order to perform efficient pass/fail judgments for incoming new materials, multivariate specifications of critical material attributes (CMAs) were established and the multivariate design space in line with the quality by design (QbD) principles was explored to achieve the release target.

Bi-directional solid fermentation products of Trametes robiniophila Murr with Radix Isatidis inhibit proliferation and metastasis of breast cancer cells.

BACKGROUND: The bi-directional solid fermentation product extract of Trametes robiniophila Murr (Huaier) with Radix Isatidis (TIF) has been shown to have good anti-tumor activity. However, the mechanisms of this activity are still unknown. In the present study, we aimed to investigate its inhibitory effect on both SK-BR-3 and MDA-MB-231 cells, and explore the possible mechanisms of its anti-cancer effect in vitro. METHODS: The experiment comprised a control group, Radix Isatidis group, Huaier group, and TIF group. The cell viability was measured by MTT and the distribution of cell cycle and apoptosis levels were analyzed by flow cytometry. Cell scratch, Transwell, and adhesion assays were used to measure the effects of the test compounds on the migration, invasion, and adhesion capability of SK-BR-3 and MDA-MB-231 cells. The effects of TIF on the mRNA and protein expression related to apoptosis and migration were measured by using semi-quantitative RT-PCR and western blotting. RESULTS: TIF strongly inhibited the cell proliferation of the SK-BR-3 and MDA-MB-231 cells in a time-dependent manner and induced G2/M arrest and apoptosis. Furthermore, TIF significantly inhibited the proliferation, migration, invasion, and adhesion capabilities of SK-BR-3 and MDA-MB-231 cells. Compared with other treatments, the anticancer effect of TIF were stronger in MDA-MB-231 cells. Semi-quantitative RT-PCR suggested that TIF may upregulate the expression of p53 and caspase-3 to inhibit cell proliferation, and downregulate the expression of MMP-9/Snail and MMP-9/MMP-2 to inhibit the migration, invasion, and adhesion capabilities of SK-BR-3 and MDA-MB-231 cells. Western blotting results showed that TIF increased the expression of p53 protein and decreased the expression of MMP-9 protein in SK-BR-3 and MDA-MB-231 cells. CONCLUSION: The results indicated that the bi-directional solid fermentation may enhance the efficacy of Huaier in MDA-MB-231 cells and that TIF may be an effective complementary medicine for cancer treatment.

[Quality by design approaches for pharmaceutical development and manufacturing of Chinese medicine].

The pharmaceutical quality was built by design, formed in the manufacturing process and improved during the product's lifecycle. Based on the comprehensive literature review of pharmaceutical quality by design (QbD), the essential ideas and implementation strategies of pharmaceutical QbD were interpreted. Considering the complex nature of Chinese medicine, the "4H" model was innovated and proposed for implementing QbD in pharmaceutical development and industrial manufacture of Chinese medicine product. "4H" corresponds to the acronym of holistic design, holistic information analysis, holistic quality control, and holistic process optimization, which is consistent with the holistic concept of Chinese medicine theory. The holistic design aims at constructing both the quality problem space from the patient requirement and the quality solution space from multidisciplinary knowledge. Holistic information analysis emphasizes understanding the quality pattern of Chinese medicine by integrating and mining multisource data and information at a relatively high level. The batch-to-batch quality consistence and manufacturing system reliability can be realized by comprehensive application of inspective quality control, statistical quality control, predictive quality control and intelligent quality control strategies. Holistic process optimization is to improve the product quality and process capability during the product lifecycle management. The implementation of QbD is useful to eliminate the ecosystem contradictions lying in the pharmaceutical development and manufacturing process of Chinese medicine product, and helps guarantee the cost effectiveness.

[Application of quality by design in granulation process for ginkgo leaf tablet (⠡)： identification of critical quality attributes].

Quality by design (QbD) highlights the concept of "begin with the end", which means to thoroughly understand the target product quality first, and then guide pharmaceutical process development and quality control throughout the whole manufacturing process. In this paper, the Ginkgo biloba granules intermediates were taken as the research object, and the requirements of the tensile strength of tablets were treated as the goals to establish the methods for identification of granules' critical quality attributes (CQAs) and establishment of CQAs' limits. Firstly, the orthogonal partial least square (OPLS) model was adopted to build the relationship between the micromeritic properties of 29 batches of granules and the tensile strength of ginkgo leaf tablets, and thereby the potential critical quality attributes (pCQAs) were screened by variable importance in the projection (VIP) indexes. Then, a series of OPLS models were rebuilt by reducing pCQAs variables one by one in view of the rule of VIP values from low to high in sequence. The model performance results demonstrated that calibration and predictive performance of the model had no decreasing trend after variables reduction. In consideration of the results from variables selection as well as the collinearity test and testability of the pCQAs, the median particle size (D50) and the bulk density (Da) were identified as critical quality attributes (CQAs). The design space of CQAs was developed based on a multiple linear regression model established between the CQAs (D50 and Da) and the tensile strength. The control constraints of the CQAs were determined as 170 µm< D50<500 µm and 0.30 g•cm⁻³

[Application of quality by design in granulation process for ginkgo leaf tablet (â )： comprehensive characterization of granule properties].

In this paper, the granules intermediate prepared from the wet granulation process of ginkgo leaf tablet were taken as the research object, and then the stackability, homogeneity, flowability, compressibility and stability of granules were characterized by using micromeritics evaluation method. The physical fingerprint of granules were constructed by 16 indexes including bulk density, tapped density, span, width, relative homogeneity index, aspect ratio, Hausner ratio, angle of repose, granule flow time, inter-particle porosity, Carr index, specific surface area, pore volume, pore size distribution, loss on drying and hygroscopicity. Furthermore, compressibility parameters (i.e. index of parameter, index of parametric profile and index of good compression) were employed to analyze the compressibility characteristics of the granules. Two principal components (first principal component representing dimension parameter and second principal component representing morphology parameter), could be extracted from the physical fingerprint by the principal component analysis (PCA). The granules' physical fingerprint is of great importance to evaluate the batch-to-batch quality consistency of Ginkgo biloba granules and analyze the potential impacts of granules' quality attributes on product quality, which can provide guidance for the granules' quality control and process development..

[Application of quality by design in granulation process for Ginkgo leaf tablet (⠢)： process control strategy based on design space].

In this paper, under the guidance of quality by design (QbD) concept, the control strategy of the high shear wet granulation process of the ginkgo leaf tablet based on the design space was established to improve the process controllability and product quality consistency. The median granule size (D50) and bulk density (Da) of granules were identified as critical quality attributes (CQAs) and potential critical process parameters (pCPPs) were determined by the failure modes and effect analysis (FMEA). The Plackeet-Burmann experimental design was used to screen pCPPs and the results demonstrated that the binder amount, the wet massing time and the wet mixing impeller speed were critical process parameters (CPPs). The design space of the high shear wet granulation process was developed within pCPPs range based on the Box-Behnken design and quadratic polynomial regression models. ANOVA analysis showed that the P-values of model were less than 0.05 and the values of lack of fit test were more than 0.1, indicating that the relationship between CQAs and CPPs could be well described by the mathematical models. D50 could be controlled within 170 to 500 µm, and the bulk density could be controlled within 0.30 to 0.44 g•cm⁻³ by using any CPPs combination within the scope of design space. Besides, granules produced by process parameters within the design space region could also meet the requirement of tensile strength of the ginkgo leaf tablet..

[Application of quality by design in granulation process for ginkgo leaf tablet (⠣)： influence and control of raw materials' quality variation].

Raw materials' quality variation could affect the quality consistency of product and the clinical efficacy. In this paper, the high shear wet granulation (HSWG) process of the ginkgo leaf tablet was taken as the research object. Ginkgo biloba extracts and excipients microcrystalline cellulose collected from various sources and batches were used to simulate raw materials' quality variation. Real-time torque was recorded to analyze the viscosity of the wetting mass, and then by combining with physical fingerprint, the impact of physical quality variation of powders on granule properties could be investigated. Based on regime map thesis, whether the granules' nucleation mode was in mechanical dispersion regime was determined by calculating dimensionless parameters, which would lead to the unstable output in considerations of granule yield ratio and particle size distribution (PSD) curve. The orthogonal partial least square (OPLS) model was adopted to build the relationship between the micromeritic properties and the mediangranule size (D50) of Ginkgo biloba granules and then the critical material attributes (CMAs) were screened by variable importance in the projection (VIP) indexes. The results demonstrated that the properties of powders including hygroscopicity, angle of repose, Hausner ratio, Carr index, D10 and loss on drying affected the granule size. Besides, Ginkgo biloba granules were compressed into tablets. In view of tensile strength analysis, the raw materials' quality variation did not result in decrease of tensile strength of the ginkgo leaf tablets. The design space of critical quality attributes (CQAs) and the process design space which could cope with raw materials' quality variation were proved to be robust..

[Online endpoint detection algorithm for blending process of Chinese materia medica].

Blending process, which is an essential part of the pharmaceutical preparation, has a direct influence on the homogeneity and stability of solid dosage forms. With the official release of Guidance for Industry PAT, online process analysis techniques have been more and more reported in the applications in blending process, but the research on endpoint detection algorithm is still in the initial stage. By progressively increasing the window size of moving block standard deviation (MBSD), a novel endpoint detection algorithm was proposed to extend the plain MBSD from off-line scenario to online scenario and used to determine the endpoint in the blending process of Chinese medicine dispensing granules. By online learning of window size tuning, the status changes of the materials in blending process were reflected in the calculation of standard deviation in a real-time manner. The proposed method was separately tested in the blending processes of dextrin and three other extracts of traditional Chinese medicine. All of the results have shown that as compared with traditional MBSD method, the window size changes according to the proposed MBSD method (progressively increasing the window size) could more clearly reflect the status changes of the materials in blending process, so it is suitable for online application.

[Continual improvement of quantitative analytical method development of Panax notogineng saponins based on quality by design].

This study is aimed to propose a continual improvement strategy based on quality by design (QbD). An ultra high performance liquid chromatography (UPLC) method was developed to accomplish the method transformation from HPLC to UPLC of Panax notogineng saponins (PNS) and achieve the continual improvement of PNS based on QbD, for example. Plackett-Burman screening design and Box-Behnken optimization design were employed to further understand the relationship between the critical method parameters (CMPs) and critical method attributes (CMAs). And then the Bayesian design space was built. The separation degree of the critical peaks (ginsenoside Rg1 and ginsenoside Re) was over 2.0 and the analysis time was less than 17 min by a method chosen from the design space with 20% of the initial concentration of the acetonitrile, 10 min of the isocratic time and 6%•min⁻¹ of the gradient slope. At last, the optimum method was validated by accuracy profile. Based on the same analytical target profile (ATP), the comparison of HPLC and UPLC including chromatograph method, CMA identification, CMP-CMA model and system suitability test (SST) indicated that the UPLC method could shorten the analysis time, improve the critical separation and satisfy the requirement of the SST. In all, HPLC method could be replaced by UPLC for the quantity analysis of PNS.